ARCHIVES

Original Article

An Effective Two Stage Cascade Model for Automatic Rice Leaf Disease Recognition

Gavaskar.P1 Kesavan.M2 Kishore Eshwar.M3 Meyarasu.K4
1 Assistant Professor, Department of Information Technology, PSV College of Engineering and Technology, Krishnagiri, Tamil Nadu, India. 2 3 4 UG Scholars, Department of Information Technology, PSV College of Engineering and Technology, Krishnagiri, Tamil Nadu, India.

Published Online: January-April 2026

Pages: 452-456

References

1. Hughes, D. P., & Salathé, M., “An open access repository of images on plant health to enable the development of mobile disease diagnostics,”
arXiv preprint arXiv: 1511.08060, 2015.
2. Mohanty, S. P., Hughes, D. P., & Salathé, M., “Using deep learning for image-based plant disease detection,” Frontiers in Plant Science,
vol. 7, pp. 1419, 2016.
3. Too, E. C., Yujian, L., Njuki, S., & Yingchun, L., “A comparative study of fine-tuning deep learning models for plant disease identification,”
Computers and Electronics in Agriculture, vol. 161, pp. 272–279, 2019.
4. Ferentinos, K. P., “Deep learning models for plant disease detection and diagnosis,” Computers and Electronics in Agriculture, vol. 145,
pp. 311–318, 2018.
5. Sladojevic, S., Arsenovic, M., Anderla, A., Culibrk, D., & Stefanovic, D., “Deep neural networks based recognition of plant diseases by leaf
image classification,” Computational Intelligence and Neuroscience, 2016.
6. Shorten, C., & Khoshgoftaar, T. M., “A survey on image data augmentation for deep learning,” Journal of Big Data, vol. 6, no. 1, pp. 60,
and 2019.

Related Articles

2026

Artificial Intelligence in Learning and Teaching

2026

Admin Assist: An AI – Driven Configuration and Orchestration for Enterprise Application

2026

Enhancing Blood Group Identification using pigeon inspired optimization: An Innovative Approach

2026

Eco-Genius: Power Up Smart, Power Down Waste

2026

Crowd-Sourced Disaster Response and Rescue Assistant

2026

Unveiling Deepfake Detection Using Vision Transformers: A Survey and Experimental Study

Share Article

X
LinkedIn
Facebook
WhatsApp

Or copy link

https://test.indjcst.com/archives/10.59256/indjcst.20260501050

*Instagram doesn't support direct link sharing from web. Copy the link and share it in your Instagram story or post.